Robust surface abnormality detection for a robotic inspection system

The detection of surface abnormalities on large complex parts represents a significant automation challenge. This is particularly true when surfaces are large (multiple square metres) but abnormalities are small (less than one mm square), and the surfaces of interest are not simple flat planes. One...

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Bibliographic Details
Main Authors: Sara Sharifzadeh, Istvan Biro, Niels Lohse, Peter Kinnell
Format: Default Conference proceeding
Published: 2016
Subjects:
Mechanical engineering not elsewhere classified
Automatic abnormality detection
Point Cloud analysis
Feature extraction
Feature classification
Adaptive smoothing
Surface inspection
Mechanical Engineering not elsewhere classified
Online Access:https://hdl.handle.net/2134/23298
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https://hdl.handle.net/2134/23298

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